Hélio Lopes

Publication Activity (10 Years)

Years Active: 2022-2024
Publications (10 Years): 34

Top Topics

Machine Learning

Top Venues

Inf. Softw. Technol.

Publications

Eduardo Zimelewicz, Marcos Kalinowski, Daniel Méndez, Görkem Giray, Antonio Pedro Santos Alves, Niklas Lavesson, Kelly Azevedo, Hugo Villamizar, Tatiana Escovedo, Hélio Lopes, Stefan Biffl, Juergen Musil, Michael Felderer, Stefan Wagner, Maria Teresa Baldassarre, Tony Gorschek
ML-Enabled Systems Model Deployment and Monitoring: Status Quo and Problems. CoRR (2024)
Luiz Schirmer, Guilherme G. Schardong, Vinícius da Silva, Rogério Santos, Hélio Lopes
High-Resolution Detection of Earth Structural Heterogeneities from Seismic Amplitudes using Convolutional Neural Networks with Attention layers. CoRR (2024)
Antonio Pedro Santos Alves, Marcos Kalinowski, Daniel Méndez, Hugo Villamizar, Kelly Azevedo, Tatiana Escovedo, Hélio Lopes
Industrial Practices of Requirements Engineering for ML-Enabled Systems in Brazil. CoRR (2024)
Hugo Villamizar, Marcos Kalinowski, Hélio Lopes, Daniel Méndez
Identifying concerns when specifying machine learning-enabled systems: A perspective-based approach. J. Syst. Softw. 213 (2024)
Lucas Romao, Marcos Kalinowski, Clarissa Barbosa, Allysson Allex Araújo, Simone D. J. Barbosa, Hélio Lopes
Agile Minds, Innovative Solutions, and Industry-Academia Collaboration: Lean R&D Meets Problem-Based Learning in Software Engineering Education. CoRR (2024)
Raphael Cabral, Marcos Kalinowski, Maria Teresa Baldassarre, Hugo Villamizar, Tatiana Escovedo, Hélio Lopes
Investigating the Impact of SOLID Design Principles on Machine Learning Code Understanding. CAIN (2024)
Raphael Cabral, Marcos Kalinowski, Maria Teresa Baldassarre, Hugo Villamizar, Tatiana Escovedo, Hélio Lopes
Investigating the Impact of SOLID Design Principles on Machine Learning Code Understanding. CoRR (2024)
Marcos Kalinowski, Daniel Méndez, Görkem Giray, Antonio Pedro Santos Alves, Kelly Azevedo, Tatiana Escovedo, Hugo Villamizar, Hélio Lopes, Maria Teresa Baldassarre, Stefan Wagner, Stefan Biffl, Jürgen Musil, Michael Felderer, Niklas Lavesson, Tony Gorschek
Naming the Pain in Machine Learning-Enabled Systems Engineering. CoRR (2024)
Eduardo Zimelewicz, Marcos Kalinowski, Daniel Méndez, Görkem Giray, Antonio Pedro Santos Alves, Niklas Lavesson, Kelly Azevedo, Hugo Villamizar, Tatiana Escovedo, Hélio Lopes, Stefan Biffl, Juergen Musil, Michael Felderer, Stefan Wagner, Maria Teresa Baldassarre, Tony Gorschek
ML-Enabled Systems Model Deployment and Monitoring: Status Quo and Problems. SWQD (2024)
Paulo Henrique Cardoso Alves, Fernando A. Correia, Isabella Zalcberg Frajhof, Clarisse Sieckenius de Souza, Hélio Lopes
Designing Intelligent Agents in Normative Systems Toward Data Regulation Representation. IEEE Access 11 (2023)
Silvio Alonso, Marcos Kalinowski, Bruna Ferreira, Simone D. J. Barbosa, Hélio Lopes
A Systematic Mapping Study and Practitioner Insights on the Use of Software Engineering Practices to Develop MVPs. CoRR (2023)
Hugo Villamizar, Marcos Kalinowski, Hélio Lopes, Daniel Méndez
Identifying Concerns When Specifying Machine Learning-Enabled Systems: A Perspective-Based Approach. CoRR (2023)
Fernando A. Correia, José Luiz Nunes, Paulo Henrique Cardoso Alves, Hélio Lopes
Dynamic Topic Modeling with Tensor Decomposition as a Tool to Explore the Legal Precedent Relevance Over Time. DocEng (2023)
Antonio Pedro Santos Alves, Marcos Kalinowski, Görkem Giray, Daniel Méndez, Niklas Lavesson, Kelly Azevedo, Hugo Villamizar, Tatiana Escovedo, Hélio Lopes, Stefan Biffl, Jürgen Musil, Michael Felderer, Stefan Wagner, Maria Teresa Baldassarre, Tony Gorschek
Status Quo and Problems of Requirements Engineering for Machine Learning: Results from an International Survey. PROFES (1) (2023)
Paulo Henrique Cardoso Alves, Fernando A. Correia, Isabella Zalcberg Frajhof, Clarisse Sieckenius de Souza, Hélio Lopes
A Normative Multiagent Approach to Represent Data Regulation Concerns. ICAART (1) (2023)
Hallison Paz, Daniel Perazzo, Tiago Novello, Guilherme G. Schardong, Luiz Schirmer, Vinícius da Silva, Daniel Yukimura, Fabio Chagas, Hélio Lopes, Luiz Velho
MR-Net: Multiresolution sinusoidal neural networks. Comput. Graph. 114 (2023)
Bruna Ferreira, Silvio Marques, Marcos Kalinowski, Hélio Lopes, Simone D. J. Barbosa
Lessons learned to improve the UX practices in agile projects involving data science and process automation. Inf. Softw. Technol. 155 (2023)
Luiz Schirmer, Tiago Novello, Vinícius da Silva, Guilherme G. Schardong, Hélio Lopes, Luiz Velho
How to Train Your (Neural) Dragon. SIBGRAPI (2023)
Antonio Pedro Santos Alves, Marcos Kalinowski, Görkem Giray, Daniel Méndez, Niklas Lavesson, Kelly Azevedo, Hugo Villamizar, Tatiana Escovedo, Hélio Lopes, Stefan Biffl, Jürgen Musil, Michael Felderer, Stefan Wagner, Maria Teresa Baldassarre, Tony Gorschek
Status Quo and Problems of Requirements Engineering for Machine Learning: Results from an International Survey. CoRR (2023)
Georges Spyrides, Marcus Poggi, Hélio Lopes
Binary Matrix Factorization Discretization. ICAISC (2) (2023)
Silvio Alonso, Marcos Kalinowski, Bruna Ferreira, Simone D. J. Barbosa, Hélio Lopes
A systematic mapping study and practitioner insights on the use of software engineering practices to develop MVPs. Inf. Softw. Technol. 156 (2023)
Tiago Novello, Vinícius Da Silva, Guilherme G. Schardong, Luiz Schirmer, Hélio Lopes, Luiz Velho
Neural Implicit Surface Evolution. ICCV (2023)
Hugo Villamizar, Marcos Kalinowski, Hélio Lopes
Towards Perspective-Based Specification of Machine Learning-Enabled Systems. SEAA (2022)
Tiago Novello, Guilherme G. Schardong, Luiz Schirmer, Vinícius da Silva, Hélio Lopes, Luiz Velho
Exploring differential geometry in neural implicits. Comput. Graph. 108 (2022)
Hugo Villamizar, Marcos Kalinowski, Hélio Lopes
Towards Perspective-Based Specification of Machine Learning-Enabled Systems. CoRR (2022)
Hugo Villamizar, Marcos Kalinowski, Hélio Lopes
A Catalogue of Concerns for Specifying Machine Learning-Enabled Systems. CoRR (2022)
Hallison Paz, Tiago Novello, Vinícius da Silva, Guilherme G. Schardong, Luiz Schirmer, Fabio Chagas, Hélio Lopes, Luiz Velho
Multiresolution Neural Networks for Imaging. SIBGRAPI (2022)
Flávia Bravo, Luciana Sousa, Tatiana Escovedo, Hélio Lopes, Marcos Kalinowski
Machine Learning Aplicado à Predição da Obrigação do Investimento em P, D&I. SBBD (2022)
Hallison Paz, Tiago Novello, Vinícius da Silva, Luiz Schirmer, Guilherme G. Schardong, Fabio Chagas, Hélio Lopes, Luiz Velho
Multiresolution Neural Networks for Imaging. CoRR (2022)
Marcos Alexandre Castro, Nelson Souza Jr, Tatiana Escovedo, Hélio Lopes, Marcos Kalinowski
Mineração de Processos Aplicada à Auditoria Interna na Marinha do Brasil. SBBD (2022)
José Luiz Nunes, Gabriel D. J. Barbosa, Clarisse Sieckenius de Souza, Hélio Lopes, Simone D. J. Barbosa
Using model cards for ethical reflection: a qualitative exploration. IHC (2022)
Hugo Villamizar, Marcos Kalinowski, Hélio Lopes
A Catalogue of Concerns for Specifying Machine Learning-Enabled Systems. WER 2022 (2022)
Gabriel Diniz Junqueira Barbosa, Dalai dos Santos Ribeiro, Marisa Do Carmo Silva, Hélio Lopes, Simone Diniz Junqueira Barbosa
Investigating the relationships between class probabilities and users' appropriate trust in computer vision classifications of ambiguous images. J. Comput. Lang. 72 (2022)
Bruna Ferreira, Silvio Marques, Marcos Kalinowski, Hélio Lopes, Simone D. J. Barbosa
Lessons Learned to Improve the UX Practices in Agile Projects Involving Data Science and Process Automation. CoRR (2022)